In this episode, Katherine Forrest and Scott Caravello break down how an AI system took on one of the hardest unsolved problems in mathematics. They explain what recursive self-improvement is, how it works, and why it sits at the center of the conversation about superintelligence.

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In this episode, Katherine Forrest and Scott Caravello take on the year of robotics—the humanoid robots hitting the market, NVIDIA's push into physical AI and its work with developers overseas, and Washington's new restrictions on robotics imports.

For the sources referenced in this episode, please see the links below:

Nvidia News: NVIDIA Announces NVIDIA Isaac GR00T Reference Humanoid Robot for Academic Research

The Wall Street Journal: Nvidia Wants to Run the World’s Robots. China Is an Eager Customer

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In this episode, Katherine Forrest and Scott Caravello explore Bill Gates's new essay on the AI transformation, discussing his concerns about the technology’s impact on jobs, on safety and security, and on society more broadly, as well as his proposed policy responses.

For the sources referenced in this episode, please see the links below:

Gates Notes: The turbulent AI era is here. The choices we make now are critical.

MIT Technology Review: Bill Gates says we’ve passed AI’s danger thresholds. Now what?

OpenAI: A call for collective action on cyber defense

OpenAI: Hugging Face Incident Technical Report

OpenAI: Industrial Policy for the Intelligence Age: Ideas to Keep People First

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In this episode, Katherine Forrest and Scott Caravello break down how AI companies are embedding invisible watermarks and provenance signals into the content their models generate. They also walk through AI regulation in both Europe and California that is shaping how synthetic content gets labeled and tracked.

For the sources referenced in this episode, please see the links below:

Anthropic: How Claude’s text watermark works

California State Legislature: California AI Transparency Act

EU AI ACT, Article 50: Transparency Obligations for Providers and Deployers of Certain AI Systems

European Commission: Code of Practice on Transparency of AI-generated Content

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In this episode, Katherine Forrest and Scott Caravello explore how Anthropic researchers built a tool to observe the newly discovered “global workspace” inside its models, the company’s experiments to assess this workspace’s effects on model behavior, and what the discovery could mean for interpretability and AI safety.

For the sources referenced in this episode, please see the links below:

Anthropic: Verbalizable Representations Form a Global Workspace in Language Models

IBM: What Anthropic’s J-space research means for the future of AI

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In this episode, Katherine Forrest discusses recently disclosed incidents in which AI models operated beyond the confines of their testing environments, accessing systems belonging to outside organizations. She also explores recursive self-improvement, the "Pacing the Frontier" statement, and proposed federal legislation aimed at preserving human control over advanced AI systems.

For the sources referenced in this episode, please see the links below:

Hugging Face: Anatomy of a Frontier Lab Agent Intrusion: A Technical Timeline of the July 2026 Incident

Pacing the Frontier: A statement from 1,350 employees of frontier AI companies

U.S. House of Representatives – Office of Rep. Ted Lieu: AI Kill Switch Act

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In this replay of their March 26 episode, Katherine Forrest and Scott Caravello unpack how quantum computing could amplify AI's capabilities while transforming the data centers that power it, and why the road from research lab to real-world impact is both closer—and more complicated—than you might think.

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In this episode, Katherine Forrest and Scott Caravello open with the news of OpenAI models venturing outside of their isolated environment during an evaluation, then consider the emerging tension between the use of AI in legal practice, unauthorized-practice-of-law statutes, and the legislative efforts taking shape in response.

For the sources referenced in this episode, please see the links below:

New York State Senate: AI Impersonation Bill (S. 7263A)

U.S. District Court (N.D. Ill.): Nippon Life Insurance Company of America v. OpenAI Foundation et al

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In this episode, Katherine Forrest and Scott Caravello explore the rise of Chinese open weight AI models, breaking down the innovative engineering techniques behind their efficiency and the significant cost advantages driving their rapid adoption among developers worldwide.

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In this episode, Katherine Forrest and Scott Caravello break down the discovery of hidden steganographic tracking code inside Anthropic's Claude Code, the FTC's proposed statement on AI output accuracy and disclosure, and IBM's warning that the quantum threat to internet encryption may already be in motion.

For the sources referenced in this episode, please see the links below:

Anthropic: Letter to Senators Tim Scott and Elizabeth Warren Re: AI Distillation Threats

FTC: Proposed Policy Statement Concerning the Suppression of Accuracy in Artificial Intelligence Systems

IBM: Q-Day has already begun. Are you ready?

Thereallo: Claude Code Is Steganographically Marking Requests

Prior Paul, Weiss Waking Up With AI Quantum Episodes:

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